ENVIRONMENT ADAPTIVE NEURAL NETWORK NOISE REDUCTION METHOD AND SYSTEM FOR DIGITAL HEARING AIDS, AND STORAGE MEDIUM

摘要

Disclosed is an environment adaptive neural network noise reduction method for digital hearing aids. The method comprises the successive execution of the following steps: a preprocessing step, including receiving voice signal with noise and transmitting the voice signal with noise to an acoustic scene recognition module after sampling and framing; a scene recognition step, including recognizing the current acoustic scene by using the acoustic scene recognition module, and independently selecting and sending different neural network modules in a neural network noise reduction module by the acoustic scene recognition module; and a neural network noise reduction step. The beneficial effects of the method are: 1, ensuring the timeliness of voice processing, and having less computation burden while only performing forward spread of neural network; 2, being able to recognize the current acoustic scene and independently selecting different neural network modules to perform targeted noise reduction in different scenes, and guaranteeing better voice quality and voice intelligibility; and 3, being able to effectively inhibiting the instant noise.